Summarizes each design of BinaryGridBSSR over the true pooled response
probabilities at which it was evaluated.
Usage
# S3 method for class 'bbssr_grid'
summary(object, ...)Value
A data frame with one row per design, containing the attribute designs
of object followed by the smallest and the largest power of the BSSR design
(power.BSSR.min, power.BSSR.max) and of the fixed-sample design
(power.TRAD.min, power.TRAD.max), and the largest expected total
sample size E.N.max
Examples
design <- data.frame(Test = c('Chisq', 'Fisher'))
grid <- BinaryGridBSSR(design, p = c(0.3, 0.4, 0.5), Delta.A = 0.3, N1 = 30, N2 = 30,
omega = 0.5, r = 1, alpha = 0.025, tar.power = 0.8,
ss.method = 'standard')
summary(grid)
#> design Test N1 N2 n1.interim n2.interim Delta.T power.BSSR.min
#> 1 1 Chisq 30 30 15 15 0.3 0.7885735
#> 2 2 Fisher 30 30 15 15 0.3 0.7026320
#> power.BSSR.max power.TRAD.min power.TRAD.max E.N.max
#> 1 0.7982702 0.6617280 0.7369757 83.27159
#> 2 0.7265063 0.5593173 0.6447901 83.27159